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Jibril Frej

Jibril Frej has 2 papers in our library, in 2019–2020, most of them on Language models & pretraining, Information retrieval & search, English; often with Didier Schwab, Benoît Crabbé, Laurent Besacier.

2 papers in our library · 2019–2020

OpenAlex · ORCID · Wikidata · h-index 9 · 58 works · 399 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 245 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4174

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. FlauBERT: Unsupervised Language Model Pre-training for French (2019 · 297 citations)
    Pre-trained contextual language models such as BERT have reshaped NLP. Most of the gains, however, were shown for English. French relied mainly on multilingual models (mBERT, XLM, XLM-R) and had no shared evaluation benchmark. The authors built FlauBERT, a monolingual French model that uses the BERT architecture and…
  2. WIKIR: A Python Toolkit for Building a Large-scale Wikipedia-based English Information Retrieval Dataset (2020 · 5 citations)
    Neural ranking models for ad-hoc information retrieval need many more labelled queries than public English collections such as Robust04 or ClueWeb09 provide.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. FlauBERT: Unsupervised Language Model Pre-training for FrencharXiv:1912.05372Hang Le, Loïc Vial, Jibril Frej, et al.2019 · 297 citations
  2. FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français (FlauBERT : Unsupervised Language Model Pre-training for French)Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles · original ↗ · no summary yetHang Le et al.2020 · 4 citations

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 245 times (of the 141,840 papers whose bibliographies we read); 23 citing papers with a page here →.

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